Quantitative research · Data science · Trading

Youness Yachruti

Quantitative researcher and data scientist. I build systematic trading and risk models in Python, I'm developing my C++ for quantitative work, and I publish the research behind them.

Casablanca, Morocco · open to relocation

Portrait of Youness Yachruti

Education

MSc Business AnalyticsHult International Business School · 2026
Pre-MFE, ML with Financial ApplicationsBaruch College, CUNY · Distinction, 98/100 · 2026
MSc Entrepreneurship & InnovationHult, Dubai · 2025
Business EngineeringESTA, France · 180 ECTS, GPA 3.7/4.0

Experience

Co-founderQuant Finance Collective · 2025 to 2026
Automation & AI ConsultantPhronesis Advisory · 2025
Funded prop FX traderMy Forex Fund · 2022 to 2023

Core skills

Pythonpandas, NumPy, scikit-learn, statsmodels, XGBoost
Quant methodsTime series, HMM regimes, PCA, Granger causality, tail risk
Machine learningTree ensembles, regularised regression, time-aware validation
DataSQL (MySQL, Snowflake), Power BI, DAX, Git

Credentials

Working paper, SSRNThe Geometry of Risk · 2026
Published equity researchVisa, on Seeking Alpha
FINRA SIESecurities Industry Essentials
C++ for Financial EngineeringQuantNet · in progress
LanguagesEnglish, French

Selected work

Five projects with public code and data, plus one professional strategy shown as a summary.

Minimum spanning tree linking nine global asset classes
Independent research · SSRN paper

The Geometry of Risk

A four-layer framework that flags systemic stress across 9 global asset classes.

Absorption Ratio above 0.50 in all 4 crisis windows tested
Methods
PCAGranger causalityHMMCVaRDCC-GARCH
Tools
Pythonstatsmodelshmmlearnnetworkx
Read the project and paper →
Predicted heat-island class at every sample point in Rio, Santiago and Freetown
Team project · I led the modelling

Urban heat islands from satellite data

Classifies heat-island intensity in two cities, then transfers the models to an unlabelled third.

F1 0.959 Rio · 0.690 Santiago · 0.58 Freetown (unseen)
Methods
Random ForestXGBoostFeature engineeringTransfer learning
Tools
scikit-learnxarraygeopandasFabric
Read the project →
Department manager page of the Power BI dashboard, with names replaced by codes
Hult MSc coursework · BI and audit

Marriott labour analytics & audit

A Power BI suite for labour cost and compliance, then a Python audit of every measure.

Overtime's share of pay corrected from 47.4% to 4.4%
Methods
Star schemaDAXMeasure auditPseudonymisation
Tools
Power BIPower Querypandas
Read the project →
Test error of each model compared with naive benchmarks
Baruch Pre-MFE coursework

CPI inflation forecasting

Forecasts monthly US CPI from 28 macro features, and shows what removing look-ahead leakage does.

Lasso test R² 0.394 → −0.199 once the leak is fixed
Methods
LassoRidgeTime-series CVBootstrap
Tools
scikit-learnpandasFRED
Read the project →
Monthly revenue compared with revenue at full occupancy
Team coursework · SQL

Semester at Sea revenue in SQL

A relational model that reconciles fiscal-year and academic-year revenue for a study-abroad voyage programme.

$17.75M fiscal vs $19.17M academic-year revenue · 82.2% occupancy
Methods
Data modellingSQL CTEsReconciliation
Tools
MySQL 8WorkbenchPython
Read the project →
Maximum drawdown of the strategy backtest compared with passive benchmarks
Professional work · Summr Capital

Regime-conditional leveraged-ETF strategy

A rules-based weekly strategy that holds leveraged exposure only when a regime read favours it.

Hypothetical backtest 2022–26: CAGR 14.6% · max drawdown −10.7% · Sharpe 1.01
Methods
HMM regimesRisk budgetingWalk-forwardDeflated Sharpe
Tools
Pythonpandashmmlearn
Read the summary →

Skills by project

Select a skill to highlight where it was applied.

SkillGeometry of RiskUHIMarriottCPISemester at SeaSummr strategy
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Research and writing

Working paper · SSRN · 2026

The Geometry of Risk: An Integrated Monitoring Framework for Multi-Asset Systemic Stress

DOI 10.2139/ssrn.7521018

Equity research · Seeking Alpha

Visa: Stop Swiping For Now

A published valuation thesis on Visa Inc.